@COMMENT This file was generated by bib2html.pl version 0.90
@COMMENT written by Patrick Riley
@COMMENT This file came from Peter Stone's publication pages at
@COMMENT http://www.cs.utexas.edu/~pstone/papers
@InCollection(ECML2000,
Author="Peter Stone and Manuela Veloso",
Title="Layered Learning",
booktitle="Machine Learning: ECML 2000 (Proceedings of the Eleventh European Conference on Machine Learning)",
editor="Ramon L\'{o}pez de M\'{a}ntaras and Enric Plaza",
month="May/June",
Year="2000",
address="Barcelona,Catalonia,Spain",
publisher="Springer Verlag",
pages="369--381",
abstract={
This paper presents layered learning, a hierarchical
machine learning paradigm. Layered learning applies
to tasks for which learning a direct mapping from
inputs to outputs is intractable with existing
learning algorithms. Given a hierarchical task
decomposition into subtasks, layered learning
seamlessly integrates separate learning at each
subtask layer. The learning of each subtask directly
facilitates the learning of the next higher subtask
layer by determining at least one of three of its
components: (i) the set of training examples; (ii)
the input representation; and/or (iii) the output
representation. We introduce layered learning in its
domain-independent general form. We then present a
full implementation in a complex domain, namely
simulated robotic soccer.
},
)